Elsevier’s Information Fusion Journal, Special Issue on “Localized Algorithms for Information Fusion in Resource-Constrained Networks” http://www.elsevierscitech.com/lmfile/otherformat/IFJ-CFP-RCN-Final.pdf
Submission Deadline: February 28, 2010
The Information Fusion Journal (IFJ), an Elsevier publication (JCR 2008: 2.057), is planning a special issue devoted to Localized Algorithms for Information Fusion in Resource-Constrained Networks. Resource-Constrained Networks (RCNs) include a wide variety of networks
in which resources – such as processing, communication, and energy – are limited. Examples of RCNs include ad hoc networks, sensor networks, mobile networks, and pervasive systems. In RCNs, the tradeoff between data quality and resource usage (especially energy) is a major concern. In this case, Localized Algorithms and Information Fusion are particularly interesting for RCNs, since the development of efficient
practical solutions and algorithms is possibly the most challenging task for such networks. On one hand, Localized Algorithms are special distributed algorithms in which only a subset of nodes partakes in the network tasks, such as data acquisition, processing, and communication. On the other hand, Information Fusion is often used for improving the quality of data being transmitted in these networks. Thus, Localized Algorithms for Information Fusion must deal with the challenge of working with partial views, or incomplete data, to provide accurate results at reduced cost.
This special issue will cover a broad range of aspects of Localized Algorithms for Information Fusion in RCNs, including ad hoc and mobile
networks, wireless sensor networks, networked pervasive systems. We seek technical papers describing original (previously unpublished in any form or forum) ideas, groundbreaking results, and quantified system experiences. We especially encourage submissions that highlight practical deployments of RCNs, new application domains, and critical surveys of the state-of-the-art. Topics of interest for this special issue include, but are not limited to:
– In-network query processing and data storage;
– Localized signal processing;
– Localized estimation, reasoning, and inference;
– Localized information fusion for time synchronization;
– Localized information fusion for location discovery and location-based services; – Localized information fusion for reliability and fault tolerance;
– Localized information fusion for communication protocols at all layers (MAC, scheduling, routing, transport, and application); – Quality-aware resource management using localized information fusion; – Mobility control and coordination;
– Optimization techniques for localized information fusion in homogeneous and heterogeneous RCNs;
– Localized information fusion for data compression and distributed source coding.
Manuscripts must describe original, completed, and unpublished work not currently under review by any other journal, magazine, or conference.
Prospective authors should follow the Information Fusion (Elsevier) journal manuscript format described at
http://www.elsevier.com/locate/inffus. Manuscripts should be submitted electronically online at http://ees.elsevier.com/inffus. In the submission process, the authors should clearly indicate that the submission is to be considered for this special issue. Manuscripts must be in single-column format, doublespaced, at least 11 pt fonts, and should not exceed 25 pages including figures, tables, algorithms, and references. Simultaneously, please also send without fail an electronic copy (PDF only), to the Guest Editor(s) listed below.
Submission Deadline: February 28, 2010
Dr. Eduardo F. Nakamura
Center of Analysis, Research, and Technological
Innovation, FUCAPI, Brazil
Dr. Antonio A. F. Loureiro
Federal University of Minas Gerais, Brazil
Dr. Azzedine Boukerche
University of Ottawa, Canada
Dr. Albert Y. Zomaya
University of Sydney, Australia